• DocumentCode
    749571
  • Title

    Prediction of the quasistatic planar motion of a contacted rigid body

  • Author

    Trinkle, Jeffrey C. ; Zeng, Dora C.

  • Author_Institution
    Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
  • Volume
    11
  • Issue
    2
  • fYear
    1995
  • fDate
    4/1/1995 12:00:00 AM
  • Firstpage
    229
  • Lastpage
    246
  • Abstract
    Planning the motion of bodies in contact requires a model of contact mechanics in order to predict sliding, rolling, and jamming. Such a model typically assumes that the bodies are rigid and that tangential forces at the contacts obey Coulomb´s law. Though, usually assumed to be constant, the static and dynamic coefficients of friction vary in space and time and are difficult to measure accurately. In this paper, we study a quasistatic, multi-rigid-body model for planar systems, in which the coefficients of friction are treated as independent variables. Our analysis yields inequalities defining regions in the space of friction coefficients for which a particular contact mode is feasible. The geometrical interpretation of these inequalities leads to a simple graphical technique to test contact mode feasibility. This technique is then used to generate a nontrivial example in which several contact modes are simultaneously feasible. Despite model ambiguity, there are factors which argue in favor of using a quasistatic, rigid-body model. This point is highlighted by the successful application of our results to the planning of two manipulation tasks
  • Keywords
    friction; manipulators; mechanical contact; optimisation; path planning; contact mechanic model; contact modes; contacted rigid body; friction; geometrical interpretation; manipulation tasks; motion planning; quasistatic multi-rigid-body model; quasistatic planar motion prediction; Computer science; Finite element methods; Friction; Jamming; Motion control; Performance analysis; Predictive models; Robotic assembly; Robotics and automation; Space technology;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.370504
  • Filename
    370504